Hassanpour, Negar

7 publications

TMLR 2025 FRAP: Faithful and Realistic Text-to-Image Generation with Adaptive Prompt Weighting Liyao Jiang, Negar Hassanpour, Mohammad Salameh, Mohan Sai Singamsetti, Fengyu Sun, Wei Lu, Di Niu

AAAI 2025 PixelMan: Consistent Object Editing with Diffusion Models via Pixel Manipulation and Generation Liyao Jiang, Negar Hassanpour, Mohammad Salameh, Mohammadreza Samadi, Jiao He, Fengyu Sun, Di Niu

AAAI 2025 Qua2SeDiMo: Quantifiable Quantization Sensitivity of Diffusion Models Keith G. Mills, Mohammad Salameh, Ruichen Chen, Negar Hassanpour, Wei Lu, Di Niu

NeurIPS 2023 AutoGO: Automated Computation Graph Optimization for Neural Network Evolution Mohammad Salameh, Keith Mills, Negar Hassanpour, Fred Han, Shuting Zhang, Wei Lu, Shangling Jui, Chunhua Zhou, Fengyu Sun, Di Niu

ICLR 2020 Learning Disentangled Representations for CounterFactual Regression Negar Hassanpour, Russell Greiner

IJCAI 2019 CounterFactual Regression with Importance Sampling Weights Negar Hassanpour, Russell Greiner

AAAI 2019 Counterfactual Reasoning in Observational Studies Negar Hassanpour